Ministry of Electronics & Information Technology Government of India Initiative for Employability Enhancement IIT Kanpur MNIT Jaipur IIITDM Jabalpur IIT Guwahati NIT Warangal IIT Roorkee NIT Patna Faculty Training Training and Consultancy Services for Industry Technical Incubation and Entrepreneurship Continuing Education for Students & Professionals 1 5 4 2 3 9 8 6 7 Broadband Highways Universal Access to Mobile Connectivity Public Internet Access Programme e-Governance- Reforming Government through Technology e-Kranti- Electronic delivery of services Information for All Electronics Manufacturing IT for Jobs Early Harvest Programmes
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Ministry of Electronics & Information Technology · 2019-05-30 · Ministry of Electronics & Information Technology Government of India Initiative for Employability Enhancement IIT
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Ministry of Electronics &Information Technology
Government of India Initiative for Employability Enhancement
— Specialized training with hands-on on basic and advanced level topics for Engineering streams
— Domain based training on use of ICT tools and techniques for Non-Engineering streams
• Training and Consultancy services for industry
• Curriculum Development for Industry
• Continuing Education programme for students / working professionals
• Design, Develop and Deliver specialized modules for specific research areas
• Providing advice and support for Technical Incubation and Entrepreneurial activities
Activities of the Academies
Faculty Development Programmes in core areas of Electronics and Information & Communication Technology (ICT) streams
have been planned by academies for delivery during Summers (i.e., May – July 2019). All these summer courses will be offered
through National Knowledge Network (NKN) based Video Conferencing, with lectures delivered by invited experts from IITs, NITs,
IIITs and other premier institutes / industries. In addition, local course coordinators at respective academies / identified remote
centres will take care of sessions on design orientation / activity linked problems / assignments / case studies and quiz test(s). All
seven EICT Academies will host the participants simultaneously along with some select remote centres all over our country,
through NKN-VC infrastructure. Candidates could attend the training programme at Academy locations or at identified remote
centres as per the convenience. For registration participants need to apply to one of the Academies, however, they can attend the
training programme at that Academy or any remote centre attached to that respective Academy, please refer to respective
academy websites.
About Summer Courses
* A duly filled in application form in the prescribed form signed by the Head of the Institute to which the candidate belongs
(along with demand draft) should reach by post to the local coordinator of the participating academy.
* Government of India norms will be followed for SC / ST category participants.
* The application form along with the DD can also be submitted in the online mode to Local Co-ordinator of the respective
academy.
Note: Refer offering Academies websites for complete postal address and other details of summer courses.
How to Apply:
Following are the programmes being offered in this Summers, May – July 2019 :
S.No. Course NamePrincipal Coordinating
Academy
Co-Principal
Coordinating Academy
Starting date of
Programme
Last date of
receiving applications
1 Network Security MNIT Jaipur NIT Warangal
Dr. Pilli Emmanuel Prof. R. B. V.
Shubhakar Subramanyam 20 May 2019 13 May 2019
2 Deep learning and applications IIT Roorkee IIITDM Jabalpur
Prof. Sanjeev Manhas Prof. Aparajita Ojha 27 May 2019 20 May 2019
3 Advancements in Signal MNIT Jaipur
Processing and Optimization Dr. S. J. Nanda IIT Roorkee
Techniques Dr. P. M. Pradhan 3 June 2019 27 May 2019
4 Embedded Systems & MNIT Jaipur
Interfacing hands-on Prof. Lava Bhargava NIT Patna
Dr. Bharat Gupta 10 June 2019 3 June 2019
5 Introduction to Programming: IIT Kanpur
A Pedagogical Approach Prof. B. V. Phani 17 June 2019 10 June 2019
6 Robotics & AI IIITDM Jabalpur NIT Warangal
Prof. V. K. Gupta Prof. R. B. V.
Subramanyam 24 June 2019 17 June 2019
7 Antenna Trends IIT Guwahati NIT Patna
Prof. R. Bhattacharjee Dr. Jayanta Ghosh 1 July 2019 24 June 2019
8 VLSI Chip Design Hands on IIT Guwahati MNIT Jaipur
using open source EDA Dr. Gaurav Trivedi Dr. C. Periasamy 8 July 2019 1 July 2019
Target Beneficiaries:Interested Faculty of Engineering / Technical Institutions are eligible to attend these summer courses.
Availability of seats at each offering Academy:Fifty (50) seats are available for each course to be offered at each Academy / Remote Centre. Participants will be selected based on first-cum-first-serve basis by each academy. Selected participants will be communicated through e-mail / notified in E&ICT Academy websites.
Course duration:Each course is designed as 3 credit equivalent for 40 hours (Theory Lectures, Hands-on / Design orientation / Activity linked problems / Assignments Problem Solving / Case Studies sessions / Quiz Tests)
Accommodation & Travel Boarding and Lodging at Hostels / Guest House will be provided at free of cost only at Identified E&ICT Academies. For details please refer to respective Academy websites. At identified remote centres only working lunch and snacks will be provided. No Travel Allowance will be paid to the participants.
Registration Fee for each Summer Course:No Registration fee is charged for attending this programme planned at any designated academies / remote centres. However, candidate should submit a Demand Draft of Rs. 1000/- along with application form and the same will be returned to the participant on the last day of the training. Certificate for participation as well as for Satisfactory performance will be given to the participants subject to fulfillment of attending all sessions, submission of assignments and clearing the test(s).
Mode of Payment:
• Last Date for Submission of Applications is Monday of earlier week from the start date of respective programme.
• The intimation of Selection for participation will be posted on website on Wednesday of previous week.
Academy Name Payment through DD
IIT Guwahati Demand Draft in favor of "Registrar, IIT Guwahati" payable at Guwahati
IIITDM Jabalpur Demand Draft in favor of ''Electronics and ICT Academy, IIITDMJ'' payable at Jabalpur
MNIT Jaipur Demand Draft in favor of "Electronics and ICT Academy, MNIT Jaipur" payable at Jaipur
IIT Kanpur Demand Draft in favor of "Director, IIT Kanpur" payable at Kanpur
NIT Patna Demand Draft in favor of "Director, NIT Patna" payable at Patna
IIT Roorkee Demand Draft in favor of "Dean SRIC IIT Roorkee" payable at Roorkee
NIT Warangal Demand Draft in favor of "Electronics and ICT Academy, NITW" payable at NIT Warangal
The following are the details of Summer courses being offered during May – July 2019
Course1: Network Security th th20 – 24 May 2019
Prospective external Experts- (i) Prof. Sukumar Nandi, IITG (ii) Prof M. S. Gaur, IIT Jammu (iii) Dr. Brijeswar Bezwada, IITH (iv) Lab- Net Sim Inc. BengaluruExperts from host institutes- (v) Dr. R. Padamavathy / Dr. Rashmi Ranjan Rout, NITW (vi) Prof. Vijay Laxmi, MNITJ (vii) Dr. Pilli Emmanuel Shubhakar, MNITJ (viii) Dr. R. B. Battula, MNITJ
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details
1. Network Introduction to Network Layers; Why TCP / IP Model? Security – 1 Network Security: Physical and MAC Layer
2. Network Routing and Transport Layer - IPSec, SBGP, ARP –TCP SYN Flood / Scan Attacks Security – 2
3. Network Introduction to Web Security: Application Layer Protocols - HTTP, HTTPS, SMTP, etc. Security – 3 Browser security. Web Application Security - SQL Injection, CSRF & XSS
4. Wireless Security Next Gen Nets Wireless Security Virtualization; Next Generation Security issues
5. Blockchain and IoT Security Blockchain Technology and its importance Permissioned / Permissionless Blockchain, Distributed / Centralized architecture, Consensus and consistency for IoT security
Case Studies : Bitcoin and Ethereum
Course 2: Deep learning and applications th st27 – 31 May 2019
Prospective external Experts- (i) Industry support from NVidia, Math Works (MATLAB) (ii) Dr. Anupama Ray, IBM (iii) Dr. Ritu, Intel(iv) Prof. R. Venkatesh Babu, IISc Banglore (v) Dr. Biplab Banerjee IITBExperts from host institutes- (vi) Prof. R. Balasubramanian, IITR (vii) Prof. Aparajita Ojha, IIITDMJ (viii) Dr. Partha Pratim Roy, IITR
Contents of modules of Deep Learning & Applications
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details
1. Artificial Neural Networks (ANNs) Introduction to Deep Learning and Motivation. Brief introduction of Artificial Neural Networks (ANN), Perceptrons, Multilayer perceptron (MLP), Back propagation training for MLP, Stochastic gradient descent. Applications to some practical classification problems.
Hands on: Demonstration and implementation of Shallow and Deep architecture, Introduction to Python, Tensorflow and Keras.
2. Regularization, Hyperparameter Deep Feed forward Networks - Regularization - drop out, Minibatch gradient Tuning and Autoencoders descent, RMSProp and Adam optimization. Autoencoders and their Types Hands on: Hyper parameter tuning and regularization practice, Minibatch gradient
descent, Autoencoders3. Convolutional Networks The Convolution Operation, Pooling, Basic architecture of a Convolution Neural
Network, Variants of the Basic Convolution Model, Evolution of Convolution NN Architectures - AlexNet, ResNet and other architectures.
Hands on: Convolution Neural Network application using Tensorflow and Keras, Autoencoders using CNN, Building an Application for classification and feature extraction.
4. Sequence Modeling Recurrent and Recursive Nets - Unfolding Computational Graphs, Recurrent Neural Networks, The Long Short-Term Memory and Other Gated RNNs.
Hands on: Language modeling and machine translation, Chatbots. 5 Generative Adversarial Networks, GAN and their variants- R-CNN , YOLO and SSD Object Detection Algorithms Hands on : Object detection, Realistic Image Generation and face recognition
Course 3: Advancements in Signal Processing and Optimization Techniques rd th 3 – 7 June 2019
Prospective external Experts- (i) Prof. Bijaya Ketan Panigrahi, IITD (ii) Prof. Ganapati Panda, IIT Bhubaneshwar(iii) Dr. N. V. George, IIT GandhinagarExperts from host institutes- (iv) Dr. P. M. Pradhan, IITR (v) Dr. S. J. Nanda, MNITJ (vi) Prof. Rajesh Kumar, MNITJ
Contents of Module of Advancements in Signal Processing and Optimization Techniques
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details
1. Adaptive Signal Processing Fundamentals of Signal Processing, Introduction to Adaptive Systems, Minimum Mean-Square Error, Wiener-Hopf Equation, Error Performance Surface, LMS algorithm, Convergence of weight vector, Learning Curve, Least Mean Square(LMS) Algorithm, Recursive Least Square (RLS) Algorithm, Direct Modelling or System Identification, Inverse Adaptive Modelling (Equalization), Adaptive Noise Cancellation, Adaptive filters for time series and stock market prediction, Biomedical Applications
2. Applications of Transformations Fourier Transform, Short Time Fourier Transform, Multi-resolution Analysis, Wavelet to Signal Transform, Discrete Wavelet Transform (DWT), Sub-band Coding for DWT, DWT for
Image processing Applications, Stockwell Transform and its Applications3. Classical Optimization and Basics of Optimization, Constrained Optimization, Linear Programming, Graphical Unsupervised Learning Techniques Method, Dual Problems, Classification and Clustering, K-Means Clustering, Density
Based Approaches for Clustering Applications4. Evolutionary and Nature Inspired Introduction to Nature Inspired Optimization, Genetic Algorithms, Particle Swarm Optimization Techniques Optimization and its variants, Ant Colony Optimization, Honey Bee Optimization,
Gray Wolf Optimization, Spider-Monkey Optimization, Social Spider Optimization and their applications.
Course 4. Embedded Systems & Interfacing Hands-onth th10 – 14 June 2019
Prospective external Experts: (i) Prof. Anshul Kumar, IITD (ii) Prof. M. Balakrishnan, IITD (iii) Prof. P. R. Panda, IITD (iv) Prof. Debdeep Mukhopadhyay, IITKgp
Module details of Embedded Systems & Interfacing hands-on
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details
1. Embedded Hardware & architecture Introduction, design characteristics, IO device, ADC / DAC, sensors, actuators, interrupts; ARM architecture fundamentals, ARM instruction set, Thumb set, assembly programming
2. Interfacing C-Programs with Bit manipulation, IO port configuration ARM Core Microcontrollers3. Processing Elements of an Reconfigurable architectures & FPGAs, ARM and ICs Embedded System4. Embedded OS how memory is managed, how tasks are scheduled, what interrupts are and how
they are handled Linux (monolithic) kernel, micro kernel and modular kernel5. Hands-on Build your own input / output system with the ARM Build your own ADC using ARM Learn how to use serial communication using the ARM Create a timer for polling using the ARM
1. Introduction Introduction, Basic Concepts, Familiarize with lab and programming environment2. Branching Branching and Loops Designing programming questions for Branching and Loops3. Functions & Recursion Arrays, Functions, Recursion, Designing programming questions for Arrays, Functions and Recursion4. Data structures & algorithms Simple Data structures and Algorithms Designing programming questions for Data structures and Algorithms5. Testing & debugging Testing, Debugging, and How to Evaluation Student Submissions Examples cases Case studies
Course 6. Robotics & AIth th24 – 28 June 2019
Prospective external Experts: (i) Prof. S.K. Saha, Professor, IIT Delhi (ii) Prof. Asish Dutta, IIT Kanpur(iii) Dr. Debanik Roy, BARC, MumbaiExperts from host Institutes- (iv) Prof. Vijay Kumar Gupta, IIITDM Jabalpur (v) Prof. R. B. V. Sabramanyam, NITW
Contents of Modules of Robotics & AI
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details
IIITDM Jabalpur - Prof. V. K. Gupta [email protected]: +91-9425163037
Course Objectives: This course is designed to provide an exposure to the fundamentals of Robotics and Artificial Intelligence. Participants will learn kinematics and dynamics of industrial manipulators, kinematics of mobile robots, trajectory planning, path planning and control and how to embed intelligence in robotic tasks. Hands-on training and practice sessions will help participants gain confidence on robotic concepts, their simulation and implementation including sessions on intelligent agents. The course will be useful for faculty of engineering and sciences who are interested in the learning robotics and intelligent systems.
1. Introduction to Robotics and Introduction to Robotics: Robot Manipulators, Mobile Robots, Legged Robot, Aerial Robot Simulators Robots, Applications. Components and mechanisms of a robotic system, sensors
and actuators. Introduction to Manipulator, Coordinate System, classification, reachable and
dexterous space, Forward and Inverse kinematics, DH Parameter Velocity Kinematics.
Hands on: Robot Simulation Software, Tutorials on Coordinate systems and Robot Kinematics : Webots, Robo Analyzer
2. Kinematics, Dynamics and Control Mobile robots and their kinematics, Holonomic and Non-holonomic robots. Basics of trajectory planning, configuration space and dimension. Linear and
nonlinear robot control: Feedback and motion control, Path Planning and Obstacle Avoidance in known and unknown environment. Intelligence path planning.
Hands on: Practice on Webots for Trajectory Planning using different types of robots3. Artificial Intelligence and Robotics Introduction to Artificial Intelligence and Machine Learning. Artificial Neural
Networks and Fuzzy logic. Vision based planning and control, Learning based motion planning,
Hands on: Implementation of ANN and Fuzzy logic for motion planning and simulation, Implementing on hardware using Raspberry Pi boards.
4. More on AI and Machine Learning: Introduction to Reinforcement Learning, Tabular Solution Methods – Multi-armed Reinforcement Learning Bandits, Finite Markov Decision Processes, Dynamic Programming, Monte Carlo
Methods, Temporal Difference Learning.5. Applications, Research Directions Research Directions and Case Studies, Mobile robotics – multi-terrain robots, and case studies humanoid robots. Biped locomotion; Applications in Agriculture, and Social robotics.
Brain Computer Interface (BCI) and gesture control Hands on– Simulation of robot tasks and motion planning, Industrial manipulators
1. Antenna Fundamentals and Basic Radiation from short current element; Basic antenna parameters: radiation pattern,
Antenna Configurations directivity, gains radiation resistance; radiation from small loop; linear antennas; monopole antennas; radiation from planar apertures; waveguide and horn antennas
Simulation experiments on: Dipole and loop antenna; Radiated fields from aperture antenna.
2. Planar Antennas Basic microstrip antenna elements: different feeding techniques; transmission line and cavity models; broadband, multiband and compact microstrip antenna elements; PIFA (planar inverted F antenna)
Simulation experiments on: Rectangular and circular microstrip antenna elements, multiband planar antennas, PIFA
3. Antenna Arrays and Beamforming Introduction to antenna arrays, principles of pattern multiplication; uniform one dimensional array: broadside and end-fire arrays; Binomial and Chebyshev arrays; Fixed beamforming networks, Switched beam antennas, Adaptive arrays and smart antennas.
Simulation experiments on: uniform one dimensional arrays, switched beam and adaptive antennas
4. Reflector antennas for radar Paraboloidal reflector antennas: axisymmetric and offset, different efficiencies,
and satellite communication calculation of radiated field; low cross-polarization feed; High gain dual reflector cassegrain antennas, Examples from radar and satellite communication application.
Simulation experiments on: Paraboloidal axisymmetric and offset reflector antenna
5. Emerging trends in antenna Flexible and Wearable antennas; Implantable antennas; Antennas for 5G, UWB and
Course 8. VLSI Chip Design Hands on using open source EDA th th8 – 12 July 2019
Prospective external Experts: (i) Dr. Imon Mondal, IITK (ii) Prof. Sachin Patkar, IITB (iii) Dr. Anand Bulusu, IITR (iv) Dr. H. S. Jatana, SCL(v) Dr. Subhakumar Reddy A., VEDA-IIT; (vi) Industry Support- VLSI System Design Corp.
Contents of Modules of VLSI Chip Design Hands on using open source EDA
S.No. Module Name Topics
PrincipalCoordinator-Academy
Co- PrincipalCoordinator-Academy
Participating Academies and Local Coordinator Details